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Investment in Stochastic Electricity-Production Facilities

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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 199))

Abstract

This chapter considers a profit-oriented private investor interested in building stochastic electricity-production facilities, such as solar and wind power plants. This investor sells its production in a competitive pool-based electricity market and faces uncertainties related to demand growth, its production level, and its investment cost. Adopting a multistage approach, a stochastic complementarity model is formulated to determine the optimal capacity to be built by the investor to maximize its expected profit while minimizing its profit volatility. An example considering a wind power investor is presented to illustrate the working of the proposed model.

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References

  1. Murphy FH, Smeers Y (2005) Generation capacity expansion in imperfectly competitive restructure electricity markets. Oper Res 53(4):646–661

    Article  Google Scholar 

  2. Kazempour J, Conejo AJ, Ruiz C (2011) Strategic generation investment using a complementarity approach. IEEE Trans Power Syst 26(2):940–948

    Article  Google Scholar 

  3. Wang J, Shahidehpour M, Li Z, Botterud A (2009) Strategic generation capacity expansion planning with incomplete information. IEEE Trans Power Syst 24(2):1002–1010

    Article  Google Scholar 

  4. Botterud A, Ilic MD, Wangensteen I (2005) Optimal investment in power generation under centralized and decentralized decision making. IEEE Trans Power Syst 20(1):254–263

    Article  Google Scholar 

  5. Oliveira F (2008) The value of information in electricity investment games. Energy Pol 36(7):2364–2375

    Article  Google Scholar 

  6. Kamyaz P, Valenzuela J, Park CS (2007) Transmission congestion and competition on power generation expansion. IEEE Trans Power Syst 28(1):401–411

    Google Scholar 

  7. Chuang AS, Wu F, Varaiya P (2001) A game-theoretic model for generation expansion planning: problem formulation and numerical comparisons. IEEE Trans Power Syst 16(4):885–891

    Article  Google Scholar 

  8. Baringo L, Conejo AJ (2011) Wind power investment within a market environment. App Energy 88(9):3239–3247

    Article  Google Scholar 

  9. Baringo L, Conejo AJ (2013) Risk-constrained multi-stage wind power investment. IEEE Trans Power Syst 28(1):401–411

    Article  Google Scholar 

  10. Birge JR, Louveaux F (1997) Introduction to stochastic programming. Springer, New York

    Google Scholar 

  11. Conejo AJ, Carrión M, Morales JM (2010) Decision making under uncertainty in electricity markets. Springer, New York

    Book  Google Scholar 

  12. Rockafellar RT, Uryasev S (2000) Optimization of conditional value-at-risk. J Risk 2:21–41

    Google Scholar 

  13. Rockafellar RT, Uryasev S (2002) Conditional value-at-risk for general loss distributions. J. Bank Financ 26:1443–1471

    Article  Google Scholar 

  14. Hoppner F, Klawonn F, Kruse R, Rumkler T. (1999) Fuzzy cluster analysis. Wiley, Chichester

    Google Scholar 

  15. Baringo L, Conejo AJ (2013) Correlated wind-power production and electric load scenarios for investment decisions. App Energy 101:475–482

    Article  Google Scholar 

  16. Hyndman RJ, Shu Fan (2010) Density forecasting for long-term peak electricity demand. IEEE Trans Power Syst 25(2):1142–1153

    Article  Google Scholar 

  17. Wiesenthal T, Mercier A, Schade B, Petric H, Szabó (2010) Quantitative assessment of the impact of the strategic energy technology plan on the European power sector. JCR Scientific and Technical Reports

    Google Scholar 

  18. Iberian Electricity Pool, OMEL, Spain and Portugal (2013) http://www.omel.es/. Accessed 12 Feb 2013

  19. Espejo A, Minguez R, Tomas A, Menendez M, Mendez FJ, Losada IJ (2011) Directional calibrated wind and wave reanalysis databases using instrumental data for optimal design of off-shore wind farms. Paper presented in OCEANS, 2011 IEEE - Spain, pp 1–9, 6–9 June 2011

    Google Scholar 

  20. Menendez M, Tomas A, Camus P, Garcia-Diez M, Fita L, Fernandez J, Mendez FJ, Losada IJ (2011) A methodology to evaluate regional-scale offshore wind energy resources. Paper presented in OCEANS, 2011 IEEE - Spain, pp 1–8, 6–9 June 2011

    Google Scholar 

  21. Nordex (2013) http://www.nordex-online.com/. Accessed 12 Feb 2013

  22. Eichhorn A, Heitsch H, Romisch (2010) Stochastic optimization of electricity portfolios: scenario tree modeling and risk management. In: Handbook of power systems I. Springer, New York, pp 405–432

    Google Scholar 

  23. Gómez-Expósito A, Conejo AJ, Cañizares C (2008) Electric energy systems: analysis and operation. Taylor and Francis, Boca Ratón

    Book  Google Scholar 

  24. Luenberger DG (1973) Introduction to linear and nonlinear programming. Addison-Wesley publishing company, New York

    Google Scholar 

  25. Ruiz C, Conejo AJ (2009) Pool strategy of a producer with endogenous formation of locational marginal prices. IEEE Trans Power Syst 24(4):1855–1866

    Article  Google Scholar 

  26. Fortuny-Amat J, McCarl B (1981) A representation and economic interpretation of a two-level programming problem. J Oper Res Soc 32(9):783–792

    Google Scholar 

  27. The ILOG CPLEX (2013) http://www.ilog.com/products/cplex/. Accessed 12 Feb 2013

  28. Rosenthal RE (2012) GAMS, A user’s guide. GAMS Development Corporation, Washington

    Google Scholar 

  29. Baringo L, Conejo AJ (2012) Wind power investment: a benders decomposition approach. IEEE Trans Power Syst 27(1):433–441

    Article  Google Scholar 

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Correspondence to Antonio J. Conejo .

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Baringo, L., Conejo, A.J. (2013). Investment in Stochastic Electricity-Production Facilities. In: Kovacevic, R., Pflug, G., Vespucci, M. (eds) Handbook of Risk Management in Energy Production and Trading. International Series in Operations Research & Management Science, vol 199. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9035-7_14

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